研究方向

My research interests are mainly focused on employing latest search and machine learning techniques (Meta-heuristics, Hyper-heuristics, Evolutionary Algorithms, and Machine Learning) as well as conventional optimisation approaches (LP/IP/MIP, Branch & Bound, Cutting Plane, Nonlinear Programming) to solve various real-world problem applications, including transportation scheduling, space planning, and timetabling. I am particularly interested in studying how search algorithms can automatically adapt to different environments and circumstances by learning from either during or after search processes.

Ning Xue, Ruibin Bai, Gethin W. Roberts. A study of automated container truck travel time prediction based on real-life GPS data Using ARIMA. The 9th International Conference on Operations and Supply Chain Management (ICOSCM2015). This paper was given the “Outstanding Paper Award”, 12th -15th July 2015.

Chen, Jianjun, Bai, Ruibin, Qu, Rong and Kendall, Graham, 2013. A Task Based Approach for A Real-World Commodity Routing Problem. In the proceedings of 2013 IEEE Symposium Series on Computational Intelligence, April 15-19, 2013, Singapore. Nominated for best paper award.

Bai, R. and Kendall, G. 2010. "Tabu Assisted Guided Local Search Approaches for Freight Service Network Design". In the CD proceedings of the 8th International Conference on the Practice and Theory of of Automated Timetabling, 10th-13th August, 2010, Belfast, Northern Ireland, pp. 468-471.

Woodward, J.R. and Bai, R., 2009. A Canonical Representation for Genetic Programming, Accepted by World Summit on Genetic and Evolutionary Computation (GEC Summit), June 12 - 14, 2009, Shanghai, China. ACM, pp. 582-592. This paper also won the best paper award (out of 108 full papers).

Woodward, J.R. and Bai, R.., 2009. Why Evolution Is Not a Good Paradigm For Program Induction; A Critique of Genetic Programming, Accepted by World Summit on Genetic and Evolutionary Computation (GEC Summit), June 12 - 14, 2009, Shanghai, China. ACM, pp. 593-600.

Bai, R. and Kendall, G., 2005. An Investigation of Automated Planograms Using a Simulated Annealing Based Hyper-heuristic. In the Proceedings of the 5th Metaheuristics International Conference (MIC 2003), Kyoto, Japan, Aug. 25-28, 2003.